Senior Business Analyst

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Position

Senior Business Analyst

Reports to: Principal Advisor, Enterprise Digital Strategy

Position Term: Full Time Permanent

Primary Location: Mississauga, Ontario, Canada

Workplace Type: Hybrid

Job Purpose

The Senior Business Analyst, Enterprise Data holds the end-to-end view of how World Vision Canada's core business processes and the information supporting them fit together across fundraising, finance, program delivery and workforce. The role engages senior leadership to understand the business problem behind a request, defines what the organization needs from its data and systems to run those processes, and carries that definition through to delivered outcomes. It ensures that decisions affecting funding, program delivery and supporter engagement are grounded in information that is accurate, well understood and traceable to its source, thereby supporting the organization's mission. Reporting to the Principal Advisor, Enterprise Digital Strategy, the incumbent holds an ongoing enterprise position, with the multi-year transformation program as its principal current assignment; assignment may change as organizational priorities require. The incumbent works with the Data Architect on matters requiring an architectural ruling, while owning the business definition and the requirement itself. Support for day-to-day operations is provided on an as-available basis and is ad-hoc in nature.

Responsibilities

• Holds the end-to-end business process and information view. Maintains an authoritative understanding of how core business processes and the information supporting them connect across fundraising, finance, program delivery and workforce, identifies where processes break, duplicate or diverge, and defines the target state.
• Engages senior leadership on business problems and options. Works directly with senior leaders and directors to understand the business problem, constraints and strategic priorities behind a request, frames the problem and the options available, and presents progress, risks and recommendations, including where a recommendation runs counter to a stated preference.
• Maintains the consolidated view across data, tooling and process. Maintains a consolidated understanding of how data, tooling and business processes fit together as the organization changes, identifies where a change in one area undermines another, and raises integrity risks with supporting analysis and recommended options.
• Assesses and translates enterprise data across business areas. Investigates and profiles data held in customer relationship management, data warehouse, finance, workforce, program delivery and other operational systems, identifies inconsistencies between sources, and establishes an authoritative understanding of what each system holds. Develops working knowledge of unfamiliar data structures and business processes efficiently and converts this into structured requirements and actionable recommendations.
• Traces and documents data lineage. Establishes the origin of data, the way it is transformed as it moves between systems, and the points at which definitions diverge, ensuring that reported figures can be explained, substantiated and relied upon.
• Elicits and specifies requirements for delivery. Engages business stakeholders to determine the content, intended use and acceptance criteria for each data product, documents the resulting definitions, business rules and source expectations, and converts these into precise, buildable requirements and backlog items with traceability from business requirement through to delivered outcome.
• Leads the resolution of conflicting definitions across business areas. Brings business areas holding differing definitions and priorities to a single position, recommends the enterprise definition, and secures ratification from the accountable business owners, escalating only where the disagreement is a matter of business policy rather than data.
• Documents data contracts between systems. Specifies the fields, formats, rules and expectations governing the exchange of data between systems, maintaining these specifications as systems evolve and ensuring consistency with the standards established by the Data Architect.
• Defines data product quality standards, succ